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Designs, trains, and deploys production-grade ML and GenAI/LLM models (NLP, computer vision, structured data) using Python, TensorFlow/Keras/PyTorch, and LangChain. Builds end-to-end ML pipelines on AWS/GCP/Azure with MLOps tooling, Docker/Kubernetes, and CI/CD automation.
Remote senior architect role defining the technical vision for cloud-native, AI-driven SaaS products: setting architecture standards (microservices, event-driven, API-first, multi-tenancy), leading LLM/RAG and agentic solution design, running architecture reviews, and mentoring engineering teams.
AI&ML Engineer at 99x in Leiria, Portugal, designing, deploying, and optimizing production machine learning systems — from classical forecasting and anomaly-detection models to LLM-powered and agentic applications. Core stack: Python, Azure, Databricks, MLflow, Docker/Kubernetes, with MLOps and CI/CD practices.
Smartsheet is hiring a senior AI engineer (US remote) to design, build, and operate production LLM-powered agents on its SmartAssist agent platform — owning agent architecture, RAG pipelines, prompt/context engineering, and evaluation frameworks, deployed on cloud infrastructure. Core stack: Python, LLM/RAG tooling, AWS/GCP/Azure, Databricks.
HubSpot is hiring a Principal Software Engineer to be the technical anchor of its Breeze Assistant AI platform — architecting agentic systems, LLM/RAG orchestration, and distributed infrastructure that lets customers complete GTM tasks. The role ships production code, defines platform patterns, ensures GenAI trust/observability, and mentors engineers on building non-deterministic systems at scale.
Senior AI Engineer building and deploying Generative AI solutions (LLM apps, RAG architectures, AI agents) for a major telecom client, taking use cases from experimentation to large-scale production. Core stack: Python, LLM/RAG tooling, vector databases, Docker/Kubernetes, cloud (AWS/Azure/GCP), and DevOps practices.
K Health is hiring a Strategic Insights Analyst in New York (hybrid, 4 days/week onsite) who acts as an individual contributor blending business consulting with data science. Day to day they write SQL and Python analyses, own KPIs, and build AI-agent-powered, automated analytics workflows to inform Product, Operations, Marketing, and Finance decisions at an AI-driven virtual primary care company.
Build and maintain production AI/ML systems at a fintech digitizing loans and CLO markets: backend services in Java/Spring Boot, Python ML models, and Agentic AI/LLM pipelines, from concept through deployment. Hybrid NYC role (4 days in office).
Build and maintain cloud-native infrastructure and developer tooling for a real-money prediction and trading app, using AI tools like Claude Code to ship production code while ensuring security and reliability.
Build and scale the platform that powers Fanatics Markets, a real-money prediction and trading app, using AWS, Kubernetes, and AI-driven development tools to ensure stability, security, and rapid innovation.
A strategy and prioritization role shaping the roadmap for Fanatics Betting & Gaming's generative AI customer-service agent and internal CX co-pilot — analyzing performance data, setting knowledge base and evaluation standards, and driving improvements through engineering and business teams. Core skills: SQL, LLM/RAG fluency, and cross-functional stakeholder management.
Designs and maintains automated regression testing for a live-service Unity mobile game, using Python, Pytest, and AI tools to reduce manual testing and improve CI/CD pipeline reliability.
Own the enterprise data products and AI-ready semantic layer for Fanatics' global supply chain, defining roadmaps, metrics, and governance to power trusted BI and AI across 900+ ecommerce sites and omnichannel operations.
Architect and lead the next-generation e-commerce platform for a global sports merchandise leader, designing scalable microservices, APIs, and AI-driven systems to handle millions of transactions and deliver seamless fan experiences.
Design AI-driven health insights for Oura’s wearable platform, building agentic workflows and probabilistic UX that turn raw biometric data into calm, actionable advice.
Senior Frontend Developer builds and optimizes high-traffic ticketing and event platforms using Vue.js, TypeScript, and AI tools, collaborating across Monaco, Barcelona, and Lviv.
Design and build AI-driven finance systems—agentic automation for FP&A, forecasting models, and responsible AI governance—to modernize financial planning and reporting.
Memorial Healthcare Group is hiring a Software Engineer (AI) in Turkey to design, build, and deploy LLM-powered applications (RAG, AI agents) that improve hospital operations and digital experiences. Core stack: Python, Azure OpenAI/OpenAI/Claude/Gemini, LangChain-family frameworks, REST APIs, and Docker/Kubernetes microservices.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Machine Learning is at the heart of Lyft’s…
An AI/ML engineer at Accenture Federal Services designs, builds, and optimizes LLM-powered systems and RAG pipelines (ingestion, embeddings, vector storage, LLM orchestration) to solve US federal mission and enterprise challenges. Core stack: Python with PyTorch/TensorFlow/HuggingFace, AWS/Azure, Docker, and MLOps tooling; requires an active TS/SCI clearance.
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